Mohammed Temraz

According to our database, Mohammed Temraz authored at least 4 papers between 2020 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2021

Solving the Class Imbalance Problem Using a Counterfactual Method for Data Augmentation.

Mohammed Temraz, Mark T. Keane

CoRR, 2021

Twin Systems for DeepCBR: A Menagerie of Deep Learning and Case-Based Reasoning Pairings for Explanation and Data Augmentation.

Mark T. Keane, Eoin M. Kenny, Mohammed Temraz, Derek Greene, Barry Smyth

CoRR, 2021

Handling Climate Change Using Counterfactuals: Using Counterfactuals in Data Augmentation to Predict Crop Growth in an Uncertain Climate Future.

Mohammed Temraz, Eoin M. Kenny, Elodie Ruelle, Laurence Shalloo, Barry Smyth, Mark T. Keane

Proceedings of the Case-Based Reasoning Research and Development, 2021

2020

Bayesian Case-Exclusion and Personalized Explanations for Sustainable Dairy Farming (Extended Abstract).

Eoin M. Kenny, Elodie Ruelle, Anne Geoghegan, Laurence Shalloo, Micheál O'Leary, Michael O'Donovan, Mohammed Temraz, Mark T. Keane

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020